A nuanced quantile random forest approach for fast prediction of a stochastic marine flooding simulator applied to a macrotidal coastal site
- DOI
- 10.1007/s00477-020-01803-2
- Published
- 2020-04-23
- Container
- Stochastic Environmental Research and Risk Assessment
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00477-020-01803-2,
title = {A nuanced quantile random forest approach for fast prediction of a stochastic marine flooding simulator applied to a macrotidal coastal site},
author = {Jeremy Rohmer and Deborah Idier and Rodrigo Pedreros},
year = {2020},
journal = {Stochastic Environmental Research and Risk Assessment},
doi = {10.1007/s00477-020-01803-2},
url = {https://doi.org/10.1007/s00477-020-01803-2}
}RIS
TY - JOUR TI - A nuanced quantile random forest approach for fast prediction of a stochastic marine flooding simulator applied to a macrotidal coastal site AU - Jeremy Rohmer AU - Deborah Idier AU - Rodrigo Pedreros PY - 2020 JO - Stochastic Environmental Research and Risk Assessment DO - 10.1007/s00477-020-01803-2 UR - https://doi.org/10.1007/s00477-020-01803-2 ER -
APA
Rohmer, J., Idier, D., & Pedreros, R. (2020). A nuanced quantile random forest approach for fast prediction of a stochastic marine flooding simulator applied to a macrotidal coastal site. Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-020-01803-2
Source records
- crossref · retrieved 2026-11-10T19:54:11.530Z